**10. References**

168 Biogas

 (simulated gas flow) (measured gas flow) (calculated OLR)

0 20 40 60 80

0

**Effluent pH**

1

2

**Organic loading rate (OLR) (KgTVS/m3\*d)**

3

4

**Time (days)**

Fig. 9. Comparison between the simulation and the experimental biogas production rate and

 **(simulated CH4 )**

 **(simulated CO2 )**

 **(measured CH4 )**

 **(measured CO2 )**

0 10 20 30 40 50 60 70 80

**Time (days)**

0 20 40 60 80

**Time (days)**

Fig. 11. Comparison between the simulation and the experimental IC, IN and pH

Fig. 10. Comparison between the simulation and the experimental % of CO2 and CH4

0,0

the variation of the organic loading rate (OLR) with time

0

0,20 (simulated IC) (simulated IN) (measured IC) (measured IN)

> (simulated pH) (measured pH)

0,00 0,02 0,04 0,06 0,08 0,10 0,12 0,14 0,16 0,18

**Effluent IC and IN (Kmol/m3**

**)**

20

40

**CH4 and CO2 (%)**

60

80

100

0,2

0,4

**Gas flow (m3/d)**

0,6

0,8

1,0


Production of Biogas from Sludge Waste and Organic Fraction of Municipal Solid Waste 171

Karakashev, D., Batstone, D. J. and Angelidaki, I. (2005). Influence of environmental

Kaseng, K., Ibrahim, K., Paneerselvam, S. V. and Hassan, R. S. (1992). Extracellular enzyme

Liu, J. (2003). Instrumentation, Control and Automation in Anaerobic Digestion, Ph.D. dissertation, Department of Biotechnology, Lund University, Sweden. Mata-Alvares, J. (2003). Biomethanization of the organic fraction of municipal solid wastes,

Mathiot, S., Escoffier, Y., Ehlinger, F., Couderc, J. P., Leyris, J. P. and Moletta, R. (1992).

Mattiasson, B. (2004). Anaerobic digestion generates fatty acids, Industrial Bioprocessing, 26,

McCarty, P.L. (2001). The development of anaerobic treatment and its future, Water Science

McHugh, S., Carton, M., Mahony, T. and O'Flaherty, V. (2003). Methanogenic population

McMahon, K. D., Stroot, P. G., Mackie, R. I. and Raskin, L. (2001). Anaerobic codigestion of

Moletta, R. (1993). La digestion anaérobie: du plus petit au plus grand, Biofutur, janvier, pp.

Moletta, R. (2002). Procédés biologiques anaérobies, Dans Gestion des problèmes

Moosbrugger, R. E., Wentzel, M. C., Ekama, G. A. and Marais, G. v. R. (1993). A 5 pH point

Münch, E. V. and Greenfield, P. F. (1998). Estimating VFA concentrations in prefermenters

Nielsen, H. B. (2006). Control parameters for understanding and preventing process

Oles, J., Dichtl, N. and Niehoff, H. (1997). Full scale experience of two stage

Olivier Bernard, Zakaria Hadj-Sadok, Denis Dochain, Antoine Genovisi, Jean-Philipe Steyer,

OTV. (1997). Traiter et valoriser les boues. Ouvrage collectif n°2, Editions Lavoisier, Cachan. Puñal, A., Palazzotto, L., Bouvier, J. C., Conte, T. and Steyer, J.-P. (2003). Automatic control

anaerobic systems, Water Science and Technology, 28, (2), 237-245.

population dynamics" Water Research, 35, (7), 1817-1827.

documentation - Editions Lavoisier, Paris, France.

by measuring pH, Water Research, 32, (8), 2431-2441.

BioCentrum-DTU, Technical University of Denmark.

Water Science and Technology, 48, (6), 103-110.

organic shockloads, Water Science and Technology, 25, (7), 93-101.

and Environmental Microbiology, 71, 331-338.

Process Biochemistry, 27, 43-47.

IWA publishing, UK, pp 42.

and Technology 44, 149-156.

(6), 8-9.

297-304.

16-25.

7), 449-456.

conditions on methanogenic compositions in anaerobic biogas reactors, Applied

and acidogen profiles of a saboratory-scale two-phase anaerobic digestion system,

Control parameter variations in an anaerobic fluidised bed reactor subject to

structure in a variety of anaerobic bioreactors, FEMS Microbial Ecology, 219, (2),

municipal solid waste and biosolids under various mixing conditioins- II: Microbial

environnementaux dans les industries agroalimentaires, Technique et

titration method for determining the carbonate and SCFA weak acid/bases in

imbalances in biogas plants: Emphasis on VFA dynamics, Ph.D. dissertation,

thermophilic/mesophilic sludge digestion, Water Science and Technology, 36, (6-

(2001). Dynamical model development and parameter identification for an anaerobic wastewater treatment process, Biotechnology Bioenergy, 75 (4), 424-438.

of volatile fatty acids in anaerobic digestion using a fuzzy logic based approach,


Boe, K., Batstone, D.J. and Angelidaki, I. (2005). Optimisation of serial CSTR biogas reactors

Proceedings, pp. 219-221. International Water Association, London, UK. Chynoweth, D. P., Svoronos, S. A., Lyberatos, G., Harman, J. L., Pullammanappallil, P.,

Degrémont. (2004). *Mémento technique de l'eau, 9eme Edition, Tome 1 et 2*, Editions Lavoisier,

Delbès, C. (2000). Diversité et dynamique structurales et fonctionnelles de la communauté

Derbal, K., Bencheikh-lehocine, M., Meniai A-H. (2011). Pilot study of biogas production

Dolfing, J. (1988). Acetogenesis. p.417-442, In: Zehnder, A. J. B. (ed.) Biology of Anaerobic

Edeline, F. (1997). L'épuration biologique des eaux. Théorie & technologie des réacteurs,

Feitkenhauer, H., Sachs, J. V. and Meyer, U. (2002). On-line titration of volatile fatty acids for the process control of anaerobic digestion plants, Water Research, 36, 212-218. Feng, Y., Behrendt, J., Wendland, C., Otterpohl, R., (2006). Parameters analysis and

Gijzen, H.J. (2002). Anaerobic digestion for sustainable development: A natural approach,

Hansson, M., Nordberg, Å., Sundh, I. and Mathisen, B. (2002). Early warning of disturbances

Hawkes, F. R., Guwy, A. J., Hawkes, D. L. and Rozzi, A. G. (1994). On-line monitoring of

Hickey, R. F., Vanderwielen, J. and Switzenbaum, M. S. (1989). The effect of heavy metals on

Hill, D. T. (1990). Alkalinity measurements in anaerobic digestion systems as influenced by organic acid level and endpoint pH, Transactions of the ASAE, 33, (5), 1717-1719. Hill, D. T. and Bolte, J. P. (1989). Digester stress as related to iso-butyric and iso-valeric

Hill, D. T. and Holmberg, R. D. (1988). Long chain volatile fatty acid relationships in anaerobic digestion of swine waste, Biological Wastes, 23, (3), 195-214.

bicarbonate alkalinity, Water Science and Technology, 30, (12), 1-10. Hickey, R. F. and Switzenbaum, M. S. (1991). Thermodynamics of Volatile Fatty-Acid

anaerobic sludge digestion, Water Research, 23, (2), 207-218.

digestion, Water Science and Technology, 30, (12), 21-29.

ARNr 16s, Université Claude Bernard, Lyon I, p.170.

Microorganisms, John Wiley & Sons, New York.

Water Science and Technology 45, 321-328.

CEDEBOC Editeur, Paris, France.

Technology, 54, (4), 139–147.

acids, Biological Wastes, 8, 33-37.

255-260.

(2), 141-144.

Paris, France

Vol. 1, N° 3, 93-96.

using modeling by ADM1, In: The First International Workshop on the IWA Anaerobic Digestion Model No.1 (ADM1), 2-4 September, Lyngby, Denmark.

Owens, J. M. and Peck, M. J. (1994). Real-time expert system control of anaerobic

microbienne d'un digesteur anaérobie : Approche moléculaire à partir des ADNr et

from organic solid waste in thermophilic phase, Journal of Science Academy Transactions on Renewable Systems Engineering and Technology (SATRESET),

discussion of the anaerobic digestion model No.1 (ADM1), Water Science &

in a laboratory-scale MSW biogas process, Water Science and Technology, 45, (10),

anaerobic digestion: Application of a device for continuous measurement of

Accumulation in Anaerobic Digesters Subject to Increases in Hydraulic and Organic Loading, Research Journal of the Water Pollution Control Federation, 63,

methane production and hydrogen and carbon monoxide levels during batch


**9** 

**Economic and Ecological Potential Assessment** 

Biogas production is discussed controversially, because biogas plants with substantial production capacity and considerable demand for feedstock were built in recent years. As a consequence, in most cases corn becomes the dominating crop in the surrounding and the competition on arable land is intensified. Therefore biogas production is blamed to raise environmental risks (e. g. erosion, nitrate leaching, etc.). Furthermore it is still discussed, that a significant increase of biogas production could threaten the security of food supply. The way out of this dilemma is simply straight forward but also challenging: to use preferably biogenous feedstock for biogas production which is not in competition with food or feed production (e. g. intercrops, manure, feedstock from unused grassland, agro-wastes, etc.). However, the use of intercrops for biogas production is not that attractive since current biogas technology from harvest up to the digestion is optimized for corn. Additionally current reimbursement schemes do neither take the physiological advantages and higher competitiveness of corn into account nor compensate lower yield potentials of intercrops which are growing in late summer or early spring. Higher feed-in tariffs for biogas from intercrop feedstock, as they are provided for the use of manure in smaller biogas systems, would not only be justified, as shown below, but also stimulating. Beyond that, the plant species used as intercrops as well as the agronomic measures and machinery used for their growing seem to provide lots of opportunities for optimization to increase achievable yields. Moreover, adaptations of biogas production systems, as discussed in this chapter, facilitate

Further advantages of intercrops growing are that they contribute to a better soil quality as well as humus content and reduce the risk of nitrous oxide emissions. Simultaneously intercrops allow a decrease of the amount of chemical fertilizer input, because the risk of nitrate leaching is reduced and if leguminosae are integrated in intercrop-mixtures, atmospheric nitrogen is fixed. This is important, because conventional agriculture for food and feed production utilizes considerable amounts of mineral fertilizers. Due to the fact that the production of mineral nitrogen fertilizers is based on fossil resources, it makes

economically and ecologically sense to reduce the fertilizers demand.

**1. Introduction** 

biogas production from intercrops.

**for Biogas Production Based on Intercrops** 

Manfred Szerencsits2 and Michael Narodoslawsky1

Nora Niemetz1, Karl-Heinz Kettl1,

*1Graz University of Technology,* 

*2Ökocluster, Austria* 

